Triple
T19001125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bed of Rose’s |
E464952
|
entity |
| Predicate | narratorAttitudeTowardTown |
P76417
|
FINISHED |
| Object | critical |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: critical | Statement: [Bed of Rose’s, narratorAttitudeTowardTown, critical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narratorAttitudeTowardTown Context triple: [Bed of Rose’s, narratorAttitudeTowardTown, critical]
-
A.
attitudeTowardSmallTownLife
chosen
Indicates a person’s evaluative stance, feelings, or opinions about living in or being part of small-town life.
-
B.
hasSmallTownCharacter
Indicates that something possesses the qualities or atmosphere typically associated with a small town, such as intimacy, familiarity, and a close-knit community feel.
-
C.
viewpointTown
Indicates that a particular town is the location from which something is viewed, described, or considered.
-
D.
attitudeTowardÁntonia
Indicates the stance, feelings, or evaluative disposition that one entity holds toward Ántonia.
-
E.
fromTown
Indicates that one entity originates from, or is associated as being from, a particular town represented by the other entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6863cf4819096e471d19f9a714c |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.